Digital Image Watermarking in Special and Frequency Domain

Neha Sinha, Swati Gupta

Abstract


Requirement of proficient and valuable copyright protection approaches is needed because of the prompt and fabulous evolution of multimedia and the outspread use of the Internet. For countering the copying, forgery and unauthorized handling of images and video system are required to tackle this issue. Due to lack of such methods, storing images over a public network is prime concern.  In this paper, digital watermarking is implemented in special domain (LSB) and frequency domain (DWT) which reveals that DWT perform better than LSB. Two examples of each of digital image watermarking are taken under consideration and obtained results are compared. This comparison reveals that the DWT based digital image watermarking outperform the corresponding LSB based watermarking technique.

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References


Zeki, Akram M., and Azizah A. Manaf. "A novel digital watermarking technique based on ISB (Intermediate Significant Bit)." World Academy of Science, Engineering and Technology 50 (2009): 989-996.

Xiong, Yin. "Covert communication audio watermarking algorithm based on LSB." 2006 International Conference on Communication Technology. IEEE, 2006.

Panchal, Urvi H., and Rohit Srivastava. "A comprehensive survey on digital image watermarking techniques." 2015 Fifth International Conference on Communication Systems and Network Technologies. IEEE, 2015.

Mehto, Amit, and Neelesh Mehra. "Adaptive lossless medical image watermarking algorithm based on DCT & DWT." Procedia Computer Science 78 (2016): 88-94.

Ansari, Irshad Ahmad, and Millie Pant. "Multipurpose image watermarking in the domain of DWT based on SVD and ABC." Pattern Recognition Letters 94 (2017): 228-236.

Debasish Jena and Sanjay Kumar Jena,” A novel visual cryptography scheme”, IEEE International Conference on Advanced Computer Control, pp. 207-211, May. 2008.

Kumar, V. Ashok, C. Dharmaraj, and Ch Rao. "A Hybrid Digital Watermarking Approach Using Wavelets and LSB." International Journal of Electrical & Computer Engineering (2088-8708) 7.5 (2017).

Zhou, Ri-Gui, et al. "Quantum color image watermarking based on Arnold transformation and LSB steganography." International Journal of Quantum Information 16.03 (2018): 1850021.

Debasish Jena and Sanjay Kumar Jena,” A novel visual cryptography scheme”, IEEE International Conference on Advanced Computer Control, pp. 207-211, May. 2008.

Ansari, Irshad Ahmad, and Millie Pant. "Multipurpose image watermarking in the domain of DWT based on SVD and ABC." Pattern Recognition Letters 94 (2017): 228-236.




DOI: https://doi.org/10.23956/ijarcsse.v9i6.1030

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